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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

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aaronmyers/README.md 
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Aaron Myers, Ph.D.  ·  CTO  ·  AI Engineer  ·  Founder

LinkedIn Website

$ whoami

CTO of Suited — an AI-powered, assessment-driven recruiting network that helps professional services firms accurately, confidentially, and equitably discover and place early-career talent.

Previously co-founded an AI recruiting startup focused on removing bias from hiring — building systems that predict candidate performance without measuring attributes that cause adverse impact. Before that, earned a Ph.D. in Computational Science, Engineering & Mathematics from the University of Texas at Austin, with a focus on machine learning.

I believe AI is the most powerful tool we have for fixing hiring — creating more opportunity for candidates and better outcomes for firms. My work sits at the intersection of machine learning, security infrastructure, and building teams that ship.

Deep experience in: LLM pre-training & distributed ML systems · ML infrastructure → production · SOC 2 compliance · cross-disciplinary team leadership · fundraising · board communication · zero-to-one product development

$ ls ./tech-stack

Languages

Python JavaScript TypeScript

Frontend & Mobile

React Next.js Svelte Vite Tailwind CSS Material-UI React Native Flutter

Backend Frameworks

FastAPI Flask Django Express.js Node.js

AI/ML & Data Science

TensorFlow PyTorch Hugging Face LangChain scikit-learn pandas NumPy OpenCV OpenAI Anthropic

LLM Pre-Training & Large-Scale Training

Transformers PyTorch FSDP DeepSpeed Megatron-LM JAX FlashAttention NCCL Ray Slurm

# focus: pre-training
├── distributed training ── data / tensor / pipeline parallelism · ZeRO · FSDP
├── training at scale ───── mixed precision (bf16) · gradient checkpointing ·
│                           fault-tolerant checkpointing · multi-node orchestration
├── data engineering ────── large-scale corpus curation · dedup (MinHash/LSH) ·
│                           quality filtering · tokenization (BPE / SentencePiece)
└── modeling ────────────── transformer architectures · attention variants · scaling laws

# working familiarity
├── post-training ───────── SFT · RLHF · DPO · LoRA / PEFT
├── evaluation ──────────── benchmark harnesses · ablation design
└── inference ───────────── vLLM · quantization · KV-cache optimization

ML Infrastructure & Deployment

MLflow Weights & Biases ONNX CUDA

Cloud & Infrastructure

GCP AWS Kubernetes Docker Heroku Cloudflare AWS Lambda CloudFront

Databases & Caching

MongoDB PostgreSQL Supabase Redis Elasticsearch Pinecone

DevOps, CI/CD & Monitoring

GitHub Actions CircleCI Cloud Build Datadog Sentry Prometheus Grafana Vanta

APIs & Real-time Communication

GraphQL gRPC tRPC Swagger WebSocket

Messaging & Task Queues

Apache Kafka RabbitMQ Celery

Testing & Code Quality

pytest Jest Cypress Playwright ESLint Prettier

Product & Analytics

PostHog LaunchDarkly

Communication & Auth

SendGrid Twilio Slack Clerk OAuth

Tools & Utilities

Pydantic Miro Notion npm Poetry

$ cat ./currently-working-on

{
  "day_job": {
    "role": "CTO @ Suited",
    "focus": "AI-powered psychological assessment for recruiting in law & finance"
  },
  "consulting": {
    "what": "Fractional CTO & technology advisor",
    "who": "Early-stage startups, AI companies, and non-tech businesses needing technical leadership"
  }
}

Building AI that makes hiring fairer and outcomes better.

LinkedIn  ·  Website

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